Application of weights to online search request

1. A machine-implemented search method comprising: inputting a search query from a user, the search query including a plurality of elements; enabling the user to specify a first weighting factor for weighting an element in the search query before the search query is executed; enabling the user to group two or more of the plurality of elements into one or more categories before the search query is executed; enabling the user to specify a second weighting factor for weighting a category of the one or more categories before the search query is executed; initiating a search by causing the search query to be executed according to the first weighting factor and the second weighting factor; returning a result of the search to the user using the first weighting factor to build a historical record of user modifications of default search query weighting factors; analyzing the historical record; based on a result of analyzing the historical record, determining a default weighting factor to use for a future search query; and in response to a predetermined user input, causing a plurality of different suggested weighting factor paradigms to be outputted to a user, each said paradigm indicating a manner of selecting one or more weighting factors for a search query, each said paradigm chosen to emphasize a different particular preference set.

2. A method as recited in claim 1 , wherein the first weighting factor represents a weight to be given to an information source of a plurality of information sources available to be searched in response to the query.

3. A method as recited in claim 1 , wherein the first weighting factor represents a weight to be given to a term in the query.

4. A processing system comprising: a processor; a network interface, coupled to the processor, through which to communicate over a network with a terminal device used by a consumer; and a memory storing instructions which, when executed by the processor, cause the processing system to perform a process that comprises: inputting a search query from a user, the search query including a plurality of elements; before the search query is executed, inputting from the user a first weighting factor for weighting an element of the plurality of elements in the search query; enabling the user to group two or more of the plurality of elements into one or more categories before the search query is executed; enabling the user to specify a second weighting factor for weighting a category of the one or more categories before the search query is executed; initiating a search by causing the query to be executed according to the first weighting factor and the second weighting factor; returning a result of the search to the user using the first weighting factor to build a historical record of user modifications of default search query weighting factors; analyzing the historical record; based on a result of analyzing the historical record, determining a default weighting factor to use for a future search query; and in response to a predetermined user input, causing a plurality of different suggested weighting factor paradigms to be outputted to the user, each said paradigm indicating a manner of selecting one or more weighting factors for a search query, each said paradigm chosen to emphasize a different particular preference set.

5. A processing system as recited in claim 4 , wherein the first weighting factor represents a weight to be given to an information source of a plurality of information sources available to be searched in response to the query.

6. A processing system as recited in claim 4 , wherein the first weighting factor represents a weight to be given to a term in the query.

7. A processing system as recited in claim 4 , wherein each of the plurality of elements in the search query is an information comparison field to be used in comparing results of the search.

8. A machine-implemented method comprising: inputting a search query from a user, the search query including a plurality of information comparison fields to be used in comparing results of a search; enabling the user to specify a first weighting factor for weighting an information comparison field of the plurality of information comparison fields in the search query, before the search query is executed; enabling the user to group two or more of the plurality of information comparison fields into one or more categories before the search query is executed; enabling the user to specify one or more second weighting factors for weighting each category of the one or more categories before the search query is executed; initiating a search by causing the search query to be executed according to the first weighting factor and each said second weighting factor; causing a result of the search to be returned to the user using the first weighting factor to build a historical record of user modifications of default search query weighting factors; analyzing the historical record; based on a result of analyzing the historical record, determining a default weighting factor to use for a future search query; and in response to a predetermined user input, causing a plurality of different suggested weighting factor paradigms to be outputted to the user, each said paradigm indicating a manner of selecting one or more weighting factors for a search query, each said paradigm chosen to emphasize a different particular preference set.